Papers
Principled Self-Correction in Discrete Diffusion: A UCB-Guided Framework for Text Generation
Masaki Asada, Makoto Miwa
Principles2Plan: LLM-Guided System for Operationalising Ethical Principles into Plans
Tammy Zhong, Yang Song, Maurice Pagnucco
PRInTS: Reward Modeling for Long-Horizon Information Seeking
Jaewoo Lee, Archiki Prasad, Justin Chen et al.
PriorDrive: Enhancing Online HD Mapping with Unified Vector Priors
Shuang Zeng, Xinyuan Chang, Xinran Liu et al.
Priority-Based Graph-Enhanced Reinforcement Learning for Robust Analog Circuit Optimization
Jintao Li, Zhenxin Chen, Sicheng He et al.
Prior Refinement Is Better: Diffusion-Driven Graph Harmonization for Federated Graph Learning
Shuman Zhuang, Zhihao Wu, Wei Huang et al.
PriorRG: Prior-Guided Contrastive Pre-training and Coarse-to-Fine Decoding for Chest X-ray Report Generation
Kang Liu, Zhuoqi Ma, Zikang Fang et al.
PRISMA: Preference-Reinforced Self-Training Approach for Interpretable Emotionally Intelligent Negotiation Dialogues
Prajwal Vijay Kajare, Priyanshu Priya, Bikash Santra et al.
PRiSM: Benchmarking Phone Realization in Speech Models
Shikhar Bharadwaj, Chin-Jou Li, Yoonjae Kim et al.
PRISM-CAFO: Prior-conditioned Remote-sensing Infrastructure Segmentation and Mapping for CAFOs
Oishee Bintey Hoque, Nibir Chandra Mandal, Kyle Luong et al.
PRISM: Privacy-Aware Routing for Adaptive Cloud–Edge LLM Inference via Semantic Sketch Collaboration
Junfei Zhan, Haoxun Shen, Zheng Lin et al.
PRISM: Probabilistic Reward Model with Inherent Structural Modeling
Yuhang Zhou, Yixin Cao, Yuchen Ni et al.
PRISM: Probing Reasoning, Instruction, and Source Memory in LLM Hallucinations
Yuhe Wu, Guangyu Wang, Yuran Chen et al.
PRISP: Privacy-Safe Few-Shot Personalization via Lightweight Adaptation
Junho Park, Dohoon Kim, Taesup Moon
Privacy Auditing of Multi-Domain Graph Pre-Trained Model Under Membership Inference Attacks
Jiayi Luo, Qingyun Sun, Yuecen Wei et al.
Privacy Collapse: Benign Fine-Tuning Can Break Contextual Privacy in Language Models
Anmol Goel, Cornelius Emde, Seong Joon Oh et al.
Privacy Leaks by Adversaries: Adversarial Iterations for Membership Inference Attack
Jing Xue, Zhishen Sun, Haishan Ye et al.
Privacy on the Fly: A Predictive Adversarial Transformation Network for Mobile Sensor Data
Tianle Song, Chenhao Lin, Yang Cao et al.
Privacy-Preserving Argumentative Explanations (Student Abstract)
Ungsik Kim, Minjae Lee, Jiho Bae et al.
Privacy Preserving In-Context-Learning Framework for Large Language Models
Bishnu Bhusal, Manoj Acharya, Ramneet Kaur et al.
Privacy-preserving Prosody Representation Learning
Kevin Everson, Mari Ostendorf
Privacy-protected Retrieval-Augmented Generation for Knowledge Graph Question Answering
Yunfeng Ning, Mayi Xu, Jintao Wen et al.
Privacy-R1: Privacy-Aware Multi-LLM Agent Collaboration via Reinforcement Learning
Zheng Hui, Yijiang River Dong, Sanhanat Sivapiromrat et al.
Private Frequency Estimation via Residue Number Systems
Héber Hwang Arcolezi
Privately Learning Decision Lists and a Differentially Private Winnow
Mark Bun, William Fang